Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. Export

@article{citeulike:2211173, abstract = {Experimental studies have observed Long Term synaptic Potentiation (LTP) when a presynaptic neuron fires shortly before a postsynaptic neuron, and Long Term Depression (LTD) when the presynaptic neuron fires shortly after, a phenomenon known as Spike Timing Dependent Plasticity (STDP). When a neuron is presented successively with discrete volleys of input spikes STDP has been shown to learn 'early spike patterns', that is to concentrate synaptic weights on afferents that consistently fire early, with the result that the postsynaptic spike latency decreases, until it reaches a minimal and stable value. Here, we show that these results still stand in a continuous regime where afferents fire continuously with a constant population rate. As such, STDP is able to solve a very difficult computational problem: to localize a repeating spatio-temporal spike pattern embedded in equally dense 'distractor' spike trains. STDP thus enables some form of temporal coding, even in the absence of an explicit time reference. Given that the mechanism exposed here is simple and cheap it is hard to believe that the brain did not evolve to use it.}, address = {Centre de Recherche Cerveau et Cognition, Universit\'{e} Toulouse 3, Centre National de la Recherche Scientifique (CNRS), Facult\'{e} de M\'{e}decine de Rangueil, Toulouse, France.}, author = {Masquelier, Timoth\'{e}e and Guyonneau, Rudy and Thorpe, Simon J.}, citeulike-article-id = {2211173}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pone.0001377}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18167538}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18167538}, day = {2}, doi = {10.1371/journal.pone.0001377}, issn = {1932-6203}, journal = {PloS one}, keywords = {learning, spike\_train, spiking\_neuron, stdp}, month = {January}, number = {1}, pages = {e1377+}, posted-at = {2009-08-14 17:07:23}, priority = {5}, publisher = {Public Library of Science}, title = {Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains.}, url = {http://dx.doi.org/10.1371/journal.pone.0001377}, volume = {3}, year = {2008} }

TY - JOUR ID - citeulike:2211173 L3 - citeulike-article-id:2211173 N2 - Experimental studies have observed Long Term synaptic Potentiation (LTP) when a presynaptic neuron fires shortly before a postsynaptic neuron, and Long Term Depression (LTD) when the presynaptic neuron fires shortly after, a phenomenon known as Spike Timing Dependent Plasticity (STDP). When a neuron is presented successively with discrete volleys of input spikes STDP has been shown to learn 'early spike patterns', that is to concentrate synaptic weights on afferents that consistently fire early, with the result that the postsynaptic spike latency decreases, until it reaches a minimal and stable value. Here, we show that these results still stand in a continuous regime where afferents fire continuously with a constant population rate. As such, STDP is able to solve a very difficult computational problem: to localize a repeating spatio-temporal spike pattern embedded in equally dense 'distractor' spike trains. STDP thus enables some form of temporal coding, even in the absence of an explicit time reference. Given that the mechanism exposed here is simple and cheap it is hard to believe that the brain did not evolve to use it. IS - 1 JF - PloS one SN - 1932-6203 AD - Centre de Recherche Cerveau et Cognition, Université Toulouse 3, Centre National de la Recherche Scientifique (CNRS), Faculté de Médecine de Rangueil, Toulouse, France. TI - Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. PB - Public Library of Science VL - 3 SP - e1377 KW - learning KW - spike_train KW - spiking_neuron KW - stdp AU - Masquelier, Timothée AU - Guyonneau, Rudy AU - Thorpe, Simon PY - 2008/01/02/ UR - http://dx.doi.org/10.1371/journal.pone.0001377 ER -